Intelligence and perception are two operative technologies in 6G scenarios.The intelligent wireless network and information perception require a deep fusion of artificial intelligence(AI)and wireless communications in...Intelligence and perception are two operative technologies in 6G scenarios.The intelligent wireless network and information perception require a deep fusion of artificial intelligence(AI)and wireless communications in 6G systems.Therefore,fusion is becoming a typical feature and key challenge of 6G wireless communication systems.In this paper,we focus on the critical issues and propose three application scenarios in 6G wireless systems.Specifically,we first discuss the fusion of AI and 6G networks for the enhancement of 5G-advanced technology and future wireless communication systems.Then,we introduce the wireless AI technology architecture with 6G multidimensional information perception,which includes the physical layer technology of multi-dimensional feature information perception,full spectrum fusion technology,and intelligent wireless resource management.The discussion of key technologies for intelligent 6G wireless network networks is expected to provide a guideline for future research.展开更多
With the penetration of the Internet, virtual groups have become more and more popular. The reliability and accuracy of interpersonal perception in the virtual environment is an intriguing issue. Using the Social rela...With the penetration of the Internet, virtual groups have become more and more popular. The reliability and accuracy of interpersonal perception in the virtual environment is an intriguing issue. Using the Social relations model (SRM) [1], this paper investigates interpersonal perception in virtual groups from a multilevel perspective. In particular, it examines the following three areas: homophily, identification, and individual attraction, and explores how much of these directional and dyadic relational evaluations can be attributed to the effect of the actor, the partner, and the relationship.展开更多
Existing Transformer-based image captioning models typically rely on the self-attention mechanism to capture long-range dependencies,which effectively extracts and leverages the global correlation of image features.Ho...Existing Transformer-based image captioning models typically rely on the self-attention mechanism to capture long-range dependencies,which effectively extracts and leverages the global correlation of image features.However,these models still face challenges in effectively capturing local associations.Moreover,since the encoder extracts global and local association features that focus on different semantic information,semantic noise may occur during the decoding stage.To address these issues,we propose the Local Relationship Enhanced Gated Transformer(LREGT).In the encoder part,we introduce the Local Relationship Enhanced Encoder(LREE),whose core component is the Local Relationship Enhanced Module(LREM).LREM consists of two novel designs:the Local Correlation Perception Module(LCPM)and the Local-Global Fusion Module(LGFM),which are beneficial for generating a comprehensive feature representation that integrates both global and local information.In the decoder part,we propose the Dual-level Multi-branch Gated Decoder(DMGD).It first creates multiple decoding branches to generate multi-perspective contextual feature representations.Subsequently,it employs the Dual-Level Gating Mechanism(DLGM)to model the multi-level relationships of these multi-perspective contextual features,enhancing their fine-grained semantics and intrinsic relationship representations.This ultimately leads to the generation of high-quality and semantically rich image captions.Experiments on the standard MSCOCO dataset demonstrate that LREGT achieves state-of-the-art performance,with a CIDEr score of 140.8 and BLEU-4 score of 41.3,significantly outperforming existing mainstream methods.These results highlight LREGT’s superiority in capturing complex visual relationships and resolving semantic noise during decoding.展开更多
Gestational Trophoblastic Disease encompasses a group of pregnancy-related disorders that derive from the placenta. Taking Leventhal’s Common Sense Model as a starting point, this study aims to investigate how illnes...Gestational Trophoblastic Disease encompasses a group of pregnancy-related disorders that derive from the placenta. Taking Leventhal’s Common Sense Model as a starting point, this study aims to investigate how illness perception could influence patients’ psychological adaptation to these rare diseases. Thirty-seven women completed: the Illness Perception Questionnaire-Revised, the Beck Depression Inventory Short Form, the State-Trait Anxiety Inventory, and the Fertility Problem Inventory. Results show that the perception of severe illness consequences significantly predicts the level of anxiety patients reported at the time of questionnaire completion. Furthermore, mental representations of illness present a significant association with infertility-related stress. Specifically, the belief in the efficacy of the treatment results in fewer feelings of discomfort and isolation from family and social context due to infertility-related problems. Since patients’ illness perception was found to have a specific impact on both anxiety and infertility-related stress, this variable should be considered in the planning of a clinical intervention.展开更多
Introduction: Lower health-related quality of life (HRQoL) is associated with fatigue, poor mental and poor gastrointestinal health during the first three months after colorectal cancer (CRC) treatment. Research indic...Introduction: Lower health-related quality of life (HRQoL) is associated with fatigue, poor mental and poor gastrointestinal health during the first three months after colorectal cancer (CRC) treatment. Research indicates that maintaining usual activities has a positive impact on HRQoL after treatment for CRC. Illness perceptions have been associated with HRQoL in other cancer diseases, and self-efficacy has been associated with HRQoL in gastrointestinal cancer survivors. Our knowledge about illness perceptions and self-efficacy in relation to maintaining everyday activities and HRQoL following CRC treatment is incomplete. Aim: To explore associations between HRQoL, fatigue, mental health, gastrointestinal health, illness perceptions and self-efficacy in relation to maintaining everyday activities, three months after surgical CRC treatment. A further aim was to test the Maintain Function Scale in a CRC population. Method: The study was cross-sectional. Forty-six persons participated. Data were collected using questionnaires. Descriptive and analytical statistics were used. Results: Persons who were more fatigued, depressed, worried, and had more diarrhea were more likely to report lower HRQoL. Increased fatigue and diarrhea were associated with decreased HRQoL. Concerning illness perceptions, persons who reported negative emotions and negative consequences of CRC were more likely to report lower HRQoL. Persons scoring higher on self-efficacy were more likely to report higher HRQoL. Increased self-efficacy was associated with increased HRQoL. The Maintain Function Scale was suitable for assessing self-efficacy in relation to maintaining everyday activities. Conclusions: Nursing support to improve self-efficacy and illness perceptions and to minimize symptoms during recovery should have a favorable impact on HRQoL.展开更多
Introduction: Many overseas volunteers have worked in low and middle-income countries. However traveling abroad and staying in an unfamiliar environment with inadequate medical infrastructure exposes volunteers to a w...Introduction: Many overseas volunteers have worked in low and middle-income countries. However traveling abroad and staying in an unfamiliar environment with inadequate medical infrastructure exposes volunteers to a wide range of health risks. The aim of this study was to clarify the relationships among disease knowledge and symptoms, disease risk perception, and self-management skills. Methods: This was a questionnaire survey of 189 Japanese who were preparing to volunteer abroad. A factor analysis was conducted on 13 items (six general risk events and seven major diseases) of risk perception. Correlation analysis was performed between the identified risk perception factors and disease knowledge and symptoms. Risk perception scores by factors from the seven disease items were compared between the Self-management Score (SMS) group and disease knowledge and risk of symptoms group, using T-tests. St. Luke’s International University Ethics Committee (19-A092) approved this study. Results: Many participants expected to suffer from digestive diseases (69.3%) and dermatitis (55%) in the field. On the other hand, few expected high risk of malaria (26.5%) or dengue fever (36%). Factor analysis yielded robust factor loadings creating a “Dread” and an “Unknown” factor accounting for 62.2% of total variance. Strong correlation was not found between SMS and disease risk perception. A weak negative correlation was observed in dengue fever, digestive disorders, and dermatitis (r = <span style="white-space:nowrap;">−0.20 to <span style="white-space:nowrap;">−0.25, p < 0.001) on the “Unknown” factor. A high SMS score was associated with a lower “Unknown” factor score for malaria, diarrhea, dermatitis, and dental disorders. In addition, higher disease knowledge was significantly associated with higher “Dread” factor score for dental disorders. Conclusions: Self-management skills and disease knowledge will enable higher risk awareness of common diseases and high lethality diseases.展开更多
<strong>Purpose:</strong> We explored parents’ perceptions and judgment formation processes concerning their infants’ health-related quality of life (HRQOL). <strong>Method:</strong> The Peds...<strong>Purpose:</strong> We explored parents’ perceptions and judgment formation processes concerning their infants’ health-related quality of life (HRQOL). <strong>Method:</strong> The PedsQL<sup>TM</sup> Infant Scales—an instrument specifically designed for infants aged 1 - 24 months—were translated into Japanese. Forward and backward translations were performed, evaluating the semantic and conceptual equivalencies. Parents with infants younger than two-years-old were recruited and interviewed using think-aloud and probing techniques. Participants completed the questionnaire while speaking aloud about what came to their mind, what they thought each question meant, and how they reached each answer. <strong>Results:</strong> Seven mothers and three fathers participated. The median age was 33.4 (28 - 43) years. Four had infants younger than six-months-old. All infants were healthy. Parents’ perceptions of their infants’ HRQOL varied across their ages. Some parents with infants younger than six months experienced difficulty discussing “emotional functioning” and “cognitive functioning” because their infants were too young to articulate the actions mentioned in the items. In those cases, the parents responded, “never a problem”. Seventy-five percent of parents recalled their infants’ daily “physical functioning”, while only 58% recalled “physical symptoms”. Some parents’ perceptions and judgment formation were compromised by their own perceptions. For example, they answered “often a problem” when the items were problematic to themselves instead of to their child. However, many distinguished their infants’ HRQOL from their own perceptions, indicating they understood the intention of the questionnaire. <strong>Conclusion:</strong> Parents’ formed judgement may compromise by their own perceptions. The result of this study will be helpful in improving healthcare communication and interpreting parents’ judgments of their infants’ HRQOL in future studies.展开更多
In this paper,we present a distributed framework for the lidar-based relative state estimator which achieves highly accurate,real-time trajectory estimation of multiple Unmanned Aerial Vehicles(UAVs)in GPS-denied envi...In this paper,we present a distributed framework for the lidar-based relative state estimator which achieves highly accurate,real-time trajectory estimation of multiple Unmanned Aerial Vehicles(UAVs)in GPS-denied environments.The system builds atop a factor graph,and only on-board sensors and computing power are utilized.Benefiting from the keyframe strategy,each UAV performs relative state estimation individually and broadcasts very partial information without exchanging raw data.The complete system runs in real-time and is evaluated with three experiments in different environments.Experimental results show that the proposed distributed approach offers comparable performance with a centralized method in terms of accuracy and real-time performance.The flight test demonstrates that the proposed relative state estimation framework is able to be used for aggressive flights over 5 m/s.展开更多
Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and d...Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.展开更多
The Latino population is the fastest growing and the largest minority group in the United States comprising 16% of the population younger than 18 years of age. Yet, little is known about the effect of acculturation in...The Latino population is the fastest growing and the largest minority group in the United States comprising 16% of the population younger than 18 years of age. Yet, little is known about the effect of acculturation in oral health related quality of life in Latino children and their parents. Objective: The objective of this study was to assess the effect of acculturation in parent and child’s perceptions of the child’s oral health status and oral health related quality of life (OHRQoL) as well as the effect in the concordance between children and parents/caregivers. Method: Sixty-three Latino children between the ages of 8 and 15, and their parents were recruited from the waiting room at the University of California, San Francisco Orthodontic and Pediatric Clinics. Parent and children each separately completed the Child Oral Health Impact Profile questionnaire (COHIP) for children and COHIP for parent/caregiver. Results: Of the sixty-three children, fifteen children (23.8%) had a more negative perception of their oral health than their parents whereas twenty-three children (36.5%) had a more positive perception. In terms of agreement between children and parents, questions about oral health showed the lowest level of agreement (34.9%) and self-image questions the highest (55.6%). Conclusion: The study findings indicate that the more acculturated the child, the more negative their perception of their oral health. The level of disagreement between parent and child, underscores the importance of obtaining both the child and parent OHRQoL perceptions.展开更多
文摘Intelligence and perception are two operative technologies in 6G scenarios.The intelligent wireless network and information perception require a deep fusion of artificial intelligence(AI)and wireless communications in 6G systems.Therefore,fusion is becoming a typical feature and key challenge of 6G wireless communication systems.In this paper,we focus on the critical issues and propose three application scenarios in 6G wireless systems.Specifically,we first discuss the fusion of AI and 6G networks for the enhancement of 5G-advanced technology and future wireless communication systems.Then,we introduce the wireless AI technology architecture with 6G multidimensional information perception,which includes the physical layer technology of multi-dimensional feature information perception,full spectrum fusion technology,and intelligent wireless resource management.The discussion of key technologies for intelligent 6G wireless network networks is expected to provide a guideline for future research.
文摘With the penetration of the Internet, virtual groups have become more and more popular. The reliability and accuracy of interpersonal perception in the virtual environment is an intriguing issue. Using the Social relations model (SRM) [1], this paper investigates interpersonal perception in virtual groups from a multilevel perspective. In particular, it examines the following three areas: homophily, identification, and individual attraction, and explores how much of these directional and dyadic relational evaluations can be attributed to the effect of the actor, the partner, and the relationship.
基金supported by the Natural Science Foundation of China(62473105,62172118)Nature Science Key Foundation of Guangxi(2021GXNSFDA196002)+1 种基金in part by the Guangxi Key Laboratory of Image and Graphic Intelligent Processing under Grants(GIIP2302,GIIP2303,GIIP2304)Innovation Project of Guang Xi Graduate Education(2024YCXB09,2024YCXS039).
文摘Existing Transformer-based image captioning models typically rely on the self-attention mechanism to capture long-range dependencies,which effectively extracts and leverages the global correlation of image features.However,these models still face challenges in effectively capturing local associations.Moreover,since the encoder extracts global and local association features that focus on different semantic information,semantic noise may occur during the decoding stage.To address these issues,we propose the Local Relationship Enhanced Gated Transformer(LREGT).In the encoder part,we introduce the Local Relationship Enhanced Encoder(LREE),whose core component is the Local Relationship Enhanced Module(LREM).LREM consists of two novel designs:the Local Correlation Perception Module(LCPM)and the Local-Global Fusion Module(LGFM),which are beneficial for generating a comprehensive feature representation that integrates both global and local information.In the decoder part,we propose the Dual-level Multi-branch Gated Decoder(DMGD).It first creates multiple decoding branches to generate multi-perspective contextual feature representations.Subsequently,it employs the Dual-Level Gating Mechanism(DLGM)to model the multi-level relationships of these multi-perspective contextual features,enhancing their fine-grained semantics and intrinsic relationship representations.This ultimately leads to the generation of high-quality and semantically rich image captions.Experiments on the standard MSCOCO dataset demonstrate that LREGT achieves state-of-the-art performance,with a CIDEr score of 140.8 and BLEU-4 score of 41.3,significantly outperforming existing mainstream methods.These results highlight LREGT’s superiority in capturing complex visual relationships and resolving semantic noise during decoding.
文摘Gestational Trophoblastic Disease encompasses a group of pregnancy-related disorders that derive from the placenta. Taking Leventhal’s Common Sense Model as a starting point, this study aims to investigate how illness perception could influence patients’ psychological adaptation to these rare diseases. Thirty-seven women completed: the Illness Perception Questionnaire-Revised, the Beck Depression Inventory Short Form, the State-Trait Anxiety Inventory, and the Fertility Problem Inventory. Results show that the perception of severe illness consequences significantly predicts the level of anxiety patients reported at the time of questionnaire completion. Furthermore, mental representations of illness present a significant association with infertility-related stress. Specifically, the belief in the efficacy of the treatment results in fewer feelings of discomfort and isolation from family and social context due to infertility-related problems. Since patients’ illness perception was found to have a specific impact on both anxiety and infertility-related stress, this variable should be considered in the planning of a clinical intervention.
文摘Introduction: Lower health-related quality of life (HRQoL) is associated with fatigue, poor mental and poor gastrointestinal health during the first three months after colorectal cancer (CRC) treatment. Research indicates that maintaining usual activities has a positive impact on HRQoL after treatment for CRC. Illness perceptions have been associated with HRQoL in other cancer diseases, and self-efficacy has been associated with HRQoL in gastrointestinal cancer survivors. Our knowledge about illness perceptions and self-efficacy in relation to maintaining everyday activities and HRQoL following CRC treatment is incomplete. Aim: To explore associations between HRQoL, fatigue, mental health, gastrointestinal health, illness perceptions and self-efficacy in relation to maintaining everyday activities, three months after surgical CRC treatment. A further aim was to test the Maintain Function Scale in a CRC population. Method: The study was cross-sectional. Forty-six persons participated. Data were collected using questionnaires. Descriptive and analytical statistics were used. Results: Persons who were more fatigued, depressed, worried, and had more diarrhea were more likely to report lower HRQoL. Increased fatigue and diarrhea were associated with decreased HRQoL. Concerning illness perceptions, persons who reported negative emotions and negative consequences of CRC were more likely to report lower HRQoL. Persons scoring higher on self-efficacy were more likely to report higher HRQoL. Increased self-efficacy was associated with increased HRQoL. The Maintain Function Scale was suitable for assessing self-efficacy in relation to maintaining everyday activities. Conclusions: Nursing support to improve self-efficacy and illness perceptions and to minimize symptoms during recovery should have a favorable impact on HRQoL.
文摘Introduction: Many overseas volunteers have worked in low and middle-income countries. However traveling abroad and staying in an unfamiliar environment with inadequate medical infrastructure exposes volunteers to a wide range of health risks. The aim of this study was to clarify the relationships among disease knowledge and symptoms, disease risk perception, and self-management skills. Methods: This was a questionnaire survey of 189 Japanese who were preparing to volunteer abroad. A factor analysis was conducted on 13 items (six general risk events and seven major diseases) of risk perception. Correlation analysis was performed between the identified risk perception factors and disease knowledge and symptoms. Risk perception scores by factors from the seven disease items were compared between the Self-management Score (SMS) group and disease knowledge and risk of symptoms group, using T-tests. St. Luke’s International University Ethics Committee (19-A092) approved this study. Results: Many participants expected to suffer from digestive diseases (69.3%) and dermatitis (55%) in the field. On the other hand, few expected high risk of malaria (26.5%) or dengue fever (36%). Factor analysis yielded robust factor loadings creating a “Dread” and an “Unknown” factor accounting for 62.2% of total variance. Strong correlation was not found between SMS and disease risk perception. A weak negative correlation was observed in dengue fever, digestive disorders, and dermatitis (r = <span style="white-space:nowrap;">−0.20 to <span style="white-space:nowrap;">−0.25, p < 0.001) on the “Unknown” factor. A high SMS score was associated with a lower “Unknown” factor score for malaria, diarrhea, dermatitis, and dental disorders. In addition, higher disease knowledge was significantly associated with higher “Dread” factor score for dental disorders. Conclusions: Self-management skills and disease knowledge will enable higher risk awareness of common diseases and high lethality diseases.
文摘<strong>Purpose:</strong> We explored parents’ perceptions and judgment formation processes concerning their infants’ health-related quality of life (HRQOL). <strong>Method:</strong> The PedsQL<sup>TM</sup> Infant Scales—an instrument specifically designed for infants aged 1 - 24 months—were translated into Japanese. Forward and backward translations were performed, evaluating the semantic and conceptual equivalencies. Parents with infants younger than two-years-old were recruited and interviewed using think-aloud and probing techniques. Participants completed the questionnaire while speaking aloud about what came to their mind, what they thought each question meant, and how they reached each answer. <strong>Results:</strong> Seven mothers and three fathers participated. The median age was 33.4 (28 - 43) years. Four had infants younger than six-months-old. All infants were healthy. Parents’ perceptions of their infants’ HRQOL varied across their ages. Some parents with infants younger than six months experienced difficulty discussing “emotional functioning” and “cognitive functioning” because their infants were too young to articulate the actions mentioned in the items. In those cases, the parents responded, “never a problem”. Seventy-five percent of parents recalled their infants’ daily “physical functioning”, while only 58% recalled “physical symptoms”. Some parents’ perceptions and judgment formation were compromised by their own perceptions. For example, they answered “often a problem” when the items were problematic to themselves instead of to their child. However, many distinguished their infants’ HRQOL from their own perceptions, indicating they understood the intention of the questionnaire. <strong>Conclusion:</strong> Parents’ formed judgement may compromise by their own perceptions. The result of this study will be helpful in improving healthcare communication and interpreting parents’ judgments of their infants’ HRQOL in future studies.
基金supported by the National Key Research and Development Program of China(No.2018AAA0102401)the National Natural Science Foundation of China(Nos.62022060,61773278,61873340).
文摘In this paper,we present a distributed framework for the lidar-based relative state estimator which achieves highly accurate,real-time trajectory estimation of multiple Unmanned Aerial Vehicles(UAVs)in GPS-denied environments.The system builds atop a factor graph,and only on-board sensors and computing power are utilized.Benefiting from the keyframe strategy,each UAV performs relative state estimation individually and broadcasts very partial information without exchanging raw data.The complete system runs in real-time and is evaluated with three experiments in different environments.Experimental results show that the proposed distributed approach offers comparable performance with a centralized method in terms of accuracy and real-time performance.The flight test demonstrates that the proposed relative state estimation framework is able to be used for aggressive flights over 5 m/s.
基金Project(2010-0020163) supported by Key Research Institute Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology, Korea
文摘Similarity measure design for discrete data group was proposed. Similarity measure design for continuous membership function was also carried out. Proposed similarity measures were designed based on fuzzy number and distance measure, and were proved. To calculate the degree of similarity of discrete data, relative degree between data and total distribution was obtained. Discrete data similarity measure was completed with combination of mentioned relative degrees. Power interconnected system with multi characteristics was considered to apply discrete similarity measure. Naturally, similarity measure was extended to multi-dimensional similarity measure case, and applied to bus clustering problem.
文摘The Latino population is the fastest growing and the largest minority group in the United States comprising 16% of the population younger than 18 years of age. Yet, little is known about the effect of acculturation in oral health related quality of life in Latino children and their parents. Objective: The objective of this study was to assess the effect of acculturation in parent and child’s perceptions of the child’s oral health status and oral health related quality of life (OHRQoL) as well as the effect in the concordance between children and parents/caregivers. Method: Sixty-three Latino children between the ages of 8 and 15, and their parents were recruited from the waiting room at the University of California, San Francisco Orthodontic and Pediatric Clinics. Parent and children each separately completed the Child Oral Health Impact Profile questionnaire (COHIP) for children and COHIP for parent/caregiver. Results: Of the sixty-three children, fifteen children (23.8%) had a more negative perception of their oral health than their parents whereas twenty-three children (36.5%) had a more positive perception. In terms of agreement between children and parents, questions about oral health showed the lowest level of agreement (34.9%) and self-image questions the highest (55.6%). Conclusion: The study findings indicate that the more acculturated the child, the more negative their perception of their oral health. The level of disagreement between parent and child, underscores the importance of obtaining both the child and parent OHRQoL perceptions.
文摘现有的基于双向长短时记忆(BiLSTM)网络的命名实体识别(NER)模型难以全面理解文本的整体语义以及捕捉复杂的实体关系。因此,提出一种基于全域信息融合和多维关系感知的NER模型。首先,通过BERT(Bidirectional Encoder Representations from Transformers)获取输入序列的向量表示,并结合BiLSTM进一步学习输入序列的上下文信息。其次,提出由梯度稳定层和特征融合模块组成的全域信息融合机制:前者使模型保持稳定的梯度传播并更新优化输入序列的表示,后者则融合BiLSTM的前后向表示获取更全面的特征表示。接着,构建多维关系感知结构学习不同子空间单词的关联性,以捕获文档中复杂的实体关系。此外,使用自适应焦点损失函数动态调整不同类别实体的权重,提高模型对少数类实体的识别性能。最后,在7个公开数据集上将所提模型和11个基线模型进行对比,实验结果表明所提模型的F1值均优于对比模型,可见该模型的综合性较优。
